Tractable Bayesian density regression via logit stick-breaking priors
… of the stick-breaking prior via sequential logistic regressions. This formulation maintains
the same desirable properties of popular predictor-dependent stick-breaking priors, and …
the same desirable properties of popular predictor-dependent stick-breaking priors, and …
Generalized spatial stick-breaking processes
O Dahdouh, MJ Khaledi - Communications in Statistics-Simulation …, 2022 - Taylor & Francis
… of the stick-breaking processes … process from the kernel stick-breaking processes (Reich
and Fuentes Citation2007; Fuentes and Reich Citation2013), the probit stick-breaking process (…
and Fuentes Citation2007; Fuentes and Reich Citation2013), the probit stick-breaking process (…
Spatio-temporal stick-breaking process
C Grazian - Bayesian Analysis, 2024 - projecteuclid.org
… the process, where the dependence over space is described in the definition of the stick-breaking …
In this work, we propose a Dirichlet process where the stick-breaking probabilities are …
In this work, we propose a Dirichlet process where the stick-breaking probabilities are …
An area-specific stick breaking process for spatial data
M Hosseinpouri, MJ Khaledi - Statistical Papers, 2019 - Springer
… In this paper, we develop an area-specific stick breaking process for distributions of random
effects with the spatially-dependent weights arising from the block averaging of underlying …
effects with the spatially-dependent weights arising from the block averaging of underlying …
On the use of Markovian stick-breaking priors
W Lippitt, S Sethuraman - arXiv preprint arXiv:2108.10849, 2021 - arxiv.org
… The ‘Markovian stick-breaking’ process is then represented … ] that such Markovian stick-breaking
processes connect to the … of the Markovian stick-breaking process in Theorem 4. Then, …
processes connect to the … of the Markovian stick-breaking process in Theorem 4. Then, …
Consistent model-based clustering using the Quasi-Bernoulli stick-breaking process
… In the general form of the stick-breaking construction (… intuition, we introduce the following
stick-breaking process: … We now establish that the Bernoulli stick-breaking process mixture …
stick-breaking process: … We now establish that the Bernoulli stick-breaking process mixture …
A tree perspective on stick-breaking models in covariate-dependent mixtures
A Horiguchi, C Chan, L Ma - arXiv preprint arXiv:2208.02806, 2022 - arxiv.org
Stick-breaking (SB) processes are often adopted in Bayesian mixture models for generating
mixing weights. When covariates influence the sizes of clusters, SB mixtures are particularly …
mixing weights. When covariates influence the sizes of clusters, SB mixtures are particularly …
Bayesian Nonparametric Vector Autoregressive Models via a Logit Stick-breaking Prior: an Application to Child Obesity
… of non-empty components in the stick-breaking representation, ie … stick-breaking prior
adopted here can be seen as a finite-dimensional version of the logistic stick-breaking process …
adopted here can be seen as a finite-dimensional version of the logistic stick-breaking process …
A recurrent stick breaking topic model for argument stance detection
HC Wang, CD Putra, CY Wu - Multimedia Tools and Applications, 2024 - Springer
… change accordingly, we refer to the recurrent stick breaking process proposed by [38]. The
… The stick breaking process is regarded as the continuous output generated by the LSTM to …
… The stick breaking process is regarded as the continuous output generated by the LSTM to …
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes
L Hoskovec, S Martenies, TL Burket… - …, 2022 - Wiley Online Library
… Though the stick-breaking approach offers computational … We develop the first fully Bayesian
multinomial logistic … induced by the stick-breaking approach through post-processing and …
multinomial logistic … induced by the stick-breaking approach through post-processing and …